Submission¶

Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace

In [1]:
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px

init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
In [2]:
#load data
df = px.data.gapminder()
df.head()
Out[2]:
country continent year lifeExp pop gdpPercap iso_alpha iso_num
0 Afghanistan Asia 1952 28.801 8425333 779.445314 AFG 4
1 Afghanistan Asia 1957 30.332 9240934 820.853030 AFG 4
2 Afghanistan Asia 1962 31.997 10267083 853.100710 AFG 4
3 Afghanistan Asia 1967 34.020 11537966 836.197138 AFG 4
4 Afghanistan Asia 1972 36.088 13079460 739.981106 AFG 4

Question 1:¶

Recreate the barplot below that shows the population of different continents for the year 2007.

Hints:

  • Extract the 2007 year data from the dataframe. You have to process the data accordingly
  • use plotly bar
  • Add different colors for different continents
  • Sort the order of the continent for the visualisation. Use axis layout setting
  • Add text to each bar that represents the population
In [3]:
# YOUR CODE HERE

df = px.data.gapminder()
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
df_2007_new = df_2007_new.reset_index()


fig = px.bar(df_2007_new, y = 'continent', x = 'pop', color = 'continent', orientation = 'h',
             color_discrete_map={
                 "Europe": "red",
                 "Asia": "green",
                 "Americas": "blue",
                 "Oceania": "goldenrod",
                 "Africa": "magenta"},
             category_orders={'continent': ["Asia", "Africa", "Americas", "Europe", "Oceania"]}, text="pop",
             title="Continents by population"
            )

fig.show()

Question 2:¶

Sort the order of the continent for the visualisation

Hint: Use axis layout setting

In [4]:
# YOUR CODE HERE

Question 3:¶

Add text to each bar that represents the population

In [5]:
# YOUR CODE HERE

Question 4:¶

Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years

In [36]:
# YOUR CODE HERE

df_grouped=df.groupby(["continent", "year"]).sum()
df_grouped=df_grouped.reset_index()

fig = px.bar(df_grouped, y = 'continent', x = 'pop', color = 'continent', orientation = 'h', animation_frame="year",
             color_discrete_map={
                 "Europe": "red",
                 "Asia": "green",
                 "Americas": "blue",
                 "Oceania": "goldenrod",
                 "Africa": "magenta"},
             category_orders={'continent': ["Asia", "Africa", "Americas", "Europe", "Oceania"]}, text="pop",
             title="Continents by population",
             range_x=[0,4000000000]
            )
fig.update_yaxes(categoryorder="total ascending")
fig.show()

Question 5:¶

Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years

In [40]:
# YOUR CODE HERE

df_country=df.groupby(["country", "year"]).sum()
df_country=df_country.reset_index()

fig = px.bar(df_country, y = 'country', x = 'pop', color = 'country', orientation = 'h', animation_frame="year",
             text="pop",
             title="Countries by population",
             range_x=[0,400000000], #I know, you cannot see India and China, but otherwise you don't see the rest.
             )
            
fig.update_yaxes(categoryorder="total descending")
fig.show()

Question 6:¶

Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation

In [41]:
# YOUR CODE HERE

fig = px.bar(df_country, y = 'country', x = 'pop', color = 'country', orientation = 'h', animation_frame="year",
             text="pop",
             title="Countries by population",
             range_x=[0,400000000], #I know, you cannot see India and China, but otherwise you don't see the rest.
             height=1000            
             )
            
fig.update_yaxes(categoryorder="total descending")
fig.show()

Question 7:¶

Show only the top 10 countries in the animation

Hint: Use the axis limit to set this.

In [53]:
# YOUR CODE HERE

fig = px.bar(df_country, y = 'country', x = 'pop', color = 'country', orientation = 'h', animation_frame="year",
            text="pop",
            title="Countries by population",
            range_x=[0,1400000000],
            height=1000
            )
fig.update_layout(showlegend=False)

#fig.update_yaxes(range=(131.5,141.5))
#fig.update_yaxes(categoryorder="total ascending")
fig.update_yaxes(range=(9.5, -0.5))
fig.update_yaxes(categoryorder="total descending")

fig.show()